Modeling Tumor Growth Using Partly Conditional Survival Models: A Case Study in Colorectal Cancer.
Jessica R FlynnMichael CurryBinsheng ZhaoHao YangLaurent DercleAntonio Tito FojoDana E ConnorsLawrence H SchwartzMithat GönenChaya S MoskowitzPublished in: JCO clinical cancer informatics (2023)
The PC modeling approach offers flexible characterization of associations between longitudinal covariates, such as serially assessed tumor burden, and survival time. It can be applied to a variety of data of this nature and used as clinical trials are ongoing to incorporate new disease assessment information as it is accumulated, as indicated by an example from colorectal cancer.